Goal of project was to detect vehicles and pedestrians using Lidar points in real time.
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Updated
Jul 6, 2017 - Jupyter Notebook
Goal of project was to detect vehicles and pedestrians using Lidar points in real time.
Udacity Vehicle Detection Project for Self Driving Cars (SDC) Term 1.
Sourcecodes of my projects from Udacity Self Driving Car Nanodegree program.
Autonomous RC Car using OpenCV,Python and Neural Network with Raspberry pi
The software for a self driving RC car
This is the repo for my ongoing Self Driving Car Nanodegree Term 1 Sholarship
Built CNN model for autopilot Car for predicting steering wheel angle
AWS Deepracer organised by ANZ Melbourne collaborated with Amazon to have a run
I've developed a model using a Convolutional Neural Network (CNN) to classify traffic signs using LeNet architecture
A Computer Vision techniques to develop an advanced algorithm that can detect and track lane boundaries
Used a PID Controller along with a Stanley controller to create the Longitudinal and Lateral controls for a self driving car.
3D Autonomous Self-Driving Car Simulator with ROS
AI DriverLess Car is a high performance, flexible architecture which accelerates the development, testing, and deployment of Autonomous Vehicles.
Mel's unique solutions :)
Predicting Yaw and Pitch of a moving vehicle (comma ai) including more stuff that can help make your car drive itself.
Exploring self-driving with Arduino and C++!
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